Okumu, F. et al. What Africa can do to accelerate and sustain progress against malaria. PLoS Glob. Public Health 2, e0000262 (2022).
Sarpong, E. et al. Zero malaria: A mirage or reality for populations of sub-Saharan Africa in health transition. Malar. J. 21, 314 (2022).
Li, J., Docile, H. J., Fisher, D., Pronyuk, K. & Zhao, L. Current status of malaria control and elimination in Africa: Epidemiology, diagnosis, treatment, progress and challenges. J. Epidemiol. Glob. Health 14, 1–19 (2024).
World Health Organization. Global Technical Strategy for Malaria 2016–2030. (World Health Organization, 2015).
González-Sanz, M., Berzosa, P. & Norman, F. F. Updates on malaria epidemiology and prevention strategies. Curr. Infect. Dis. Rep. 25, 131–139 (2023).
Venkatesan, P. The 2023 WHO World Malaria Report. Lancet Microbe 5, e214 (2024).
Rajneesh, T. et al. Advancements and challenges in developing malaria vaccines: Targeting multiple stages of the parasite life cycle. ACS Infect. Dis. 9, 1795–1814 (2023).
Lancet. Malaria vaccines: a test for global health. Lancet 403, 10426,503 (2024).
Dereje, N. et al. A community engagement framework to accelerate the uptake of malaria vaccines in Africa. Nat. Med. 30, 1–2 (2024).
Walldorf, J. A. et al. School-age children are a reservoir of malaria infection in Malawi. PLoS One 10, e0134061 (2015).
Phillips, M. A. et al. Malaria. Nat. Rev. Dis. Prim. 3, 17050 (2017).
Landier, J., Rebaudet, S., Piarroux, R. & Gaudart, J. Spatiotemporal analysis of malaria for new sustainable control strategies. BMC Med. 16, 226 (2018).
Moxon, C. A., Gibbins, M. P., McGuinness, D., Milner, D. A. Jr & Marti, M. New insights into malaria pathogenesis. Annu. Rev. Pathol. 15, 315–343 (2020).
Cohee, L. M. et al. Preventive malaria treatment among school-aged children in sub-Saharan Africa: A systematic review and meta-analyses. Lancet Glob. Health 8, e1499–e1511 (2020).
Daily, J. P., Minuti, A. & Khan, N. Diagnosis, treatment, and prevention of malaria in the US: A review. JAMA 328, 460–471 (2022).
Poespoprodjo, J. R., Douglas, N. M., Ansong, D., Kho, S. & Anstey, N. M. Malaria. Lancet 402, 2328–2345 (2023).
Samarasekera, U. Climate change and malaria: Predictions becoming reality. Lancet 402, 361–362 (2023).
Staedke, S. G. & Maiteki-Sebuguzi, C. Targeting malaria control to schoolchildren. Lancet Glob. Health 11, e1156–e1157 (2023).
Markwalter, C. F. et al. Plasmodium falciparum infection in humans and mosquitoes influences natural anopheline biting behavior and transmission. Nat. Commun. 15, 4626 (2024).
World Health Organization. WHO Guidelines for Malaria 2024. https://www.who.int/publications/i/item/9789240086173 (2024).
Wu, L. et al. Comparison of diagnostics for the detection of asymptomatic Plasmodium falciparum infections to inform control and elimination strategies. Nature 528, S86–S93 (2015).
Oyegoke, O. O. et al. Malaria diagnostic methods with the elimination goal in view. Parasitol. Res. 121, 1867–1885 (2022).
Newby, G. et al. Testing and treatment for malaria elimination: A systematic review. Malar. J. 22, 254 (2023).
Zhang, H., Fink, G. & Cohen, J. Malaria rapid tests, febrile illness management, and child mortality across sub-Saharan African countries. JAMA 332, 1270–1281 (2024).
Cunningham, J. et al. A review of the WHO malaria rapid diagnostic test product testing programme (2008–2018): Performance, procurement and policy. Malar. J. 18, 1–15 (2019).
Kavanaugh, M. J., Azzam, S. E. & Rockabrand, D. M. Malaria rapid diagnostic tests: Literary review and recommendation for a quality assurance, quality control algorithm. Diagnostics 11, 50768 (2021).
Aidoo, M. & Incardona, S. Ten years of universal testing: How the rapid diagnostic test became a game changer for malaria case management and improved disease reporting. Am. J. Tropical Med. Hyg. 106, 29–32 (2021).
Wittenauer, R., Nowak, S. & Luter, N. Price, quality, and market dynamics of malaria rapid diagnostic tests: Analysis of Global Fund 2009–2018 data. Malar. J. 21, 12 (2022).
Boyce, M. R. & O’Meara, W. P. Use of malaria RDTs in various health contexts across sub-Saharan Africa: A systematic review. BMC Public Health 17, 470 (2017).
World Health Organization. Rapid diagnostic tests for malaria. https://www.who.int/teams/global-malaria-programme/case-management/diagnosis/rapid-diagnostic-tests (2024).
Conner, R. et al. Mass testing and treatment for malaria followed by weekly fever screening, testing and treatment in northern Senegal: Feasibility, cost and impact. Malar. J. 19, 367 (2020).
Dalrymple, U. et al. Quantifying the contribution of Plasmodium falciparum malaria to febrile illness amongst African children. eLife 6, e29198 (2017).
Thwing, J. et al. Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal. Malar. J. 16, 1–11 (2017).
Nankabirwa, J. et al. Malaria in school-age children in Africa: An increasingly important challenge. Tropical Med. Int. Health 19, 1294–1309 (2014).
Pinchoff, J. et al. Southern Africa International Centers of Excellence for Malaria, R. Individual and household level risk factors associated with malaria in Nchelenge District, a region with perennial transmission: A serial cross-sectional study from 2012 to 2015. PLoS One 11, e0156717 (2016).
Mwandagalirwa, M. K. et al. Individual and household characteristics of persons with Plasmodium falciparum malaria in sites with varying endemicities in Kinshasa Province, Democratic Republic of the Congo. Malar. J. 16, 456 (2017).
Cohee, L. M. et al. School-based screening and treatment may reduce P. falciparum transmission. Sci. Rep. 11, 6905 (2021).
Cohee, L. M., Nankabirwa, J. I., Greenwood, B., Djimde, A. & Mathanga, D. P. Time for malaria control in school-age children. Lancet Child Adolesc. Health 5, 537–538 (2021).
Makenga, G. et al. Prevalence of malaria parasitaemia in school-aged children and pregnant women in endemic settings of sub-Saharan Africa: A systematic review and meta-analysis. Parasite Epidemiol. Control 11, e00188 (2020).
Chen, I. et al. Asymptomatic” malaria: A chronic and debilitating infection that should be treated. PLoS Med. 13, e1001942 (2016).
Sifft, K. C. et al. Asymptomatic only at first sight: Malaria infection among schoolchildren in highland Rwanda. Malar. J. 15, 1–10 (2016).
Clarke, S. E. et al. Impact of a malaria intervention package in schools on Plasmodium infection, anaemia and cognitive function in schoolchildren in Mali: A pragmatic cluster-randomised trial. BMJ Glob. Health 2, e000182 (2017).
Andolina, C. et al. Sources of persistent malaria transmission in a setting with effective malaria control in eastern Uganda: A longitudinal, observational cohort study. Lancet Infect. Dis. 21, 1568–1578 (2021).
Joshi, V. et al. Automated detection of malarial retinopathy in digital fundus images for improved diagnosis in Malawian children with clinically defined cerebral malaria. Sci. Rep. 7, 42703 (2017).
Wilson, K. J. et al. Retinal imaging technologies in cerebral malaria: A systematic review. Malar. J. 22, 139 (2023).
Beare, N. A. V. Cerebral malaria – using the retina to study the brain. Eye 37, 2379–2384 (2023).
Brodeur, K. R. N., Herculano, A. & Oliveira, K. Clinical aspects of malarial retinopathy: A critical review. Pathog. Glob. Health 117, 450–461 (2023).
Kurup, A. R. et al. Automated malarial retinopathy detection using transfer learning and multi-camera retinal images. Biocybern. Biomed. Eng. 43, 109–123 (2023).
Lin, Y. et al. Using malarial retinopathy to improve the diagnosis of pediatric cerebral malaria. Am. J. Trop. Med. Hyg. 108, 69 (2023).
Joshi, V. S. et al. Comparing the performance of three retinal cameras in detecting malarial retinopathy in pediatric cerebral malaria in Malawi. Invest. Ophthalmol. Vis. Sci. 57, 1717–1717 (2016).
Soliz, P. et al. Comparison of the effectiveness of three retinal camera technologies for malarial retinopathy detection in Malawi. Proc. SPIE – Int. Soc. Opt.Eng. 9693, 96930B (2016).
Van Timmeren, J. E., Cester, D., Tanadini-Lang, S., Alkadhi, H. & Baessler, B. Radiomics in medical imaging – “how-to” guide and critical reflection. Insights into Imaging 11, 91 (2020).
Guiot, J. et al. A review in radiomics: Making personalized medicine a reality via routine imaging. Med. Res. Rev. 42, 426–440 (2022).
Huang, E. P. et al. Criteria for the translation of radiomics into clinically useful tests. Nat. Rev. Clin. Oncol. 20, 69–82 (2023).
McCague, C. et al. Introduction to radiomics for a clinical audience. Clin. Radiol. 78, 83–98 (2023).
Zwanenburg, A. et al. The image biomarker standardization initiative: Standardized quantitative radiomics for high-throughput image-based phenotyping. Radiology 295, 328–338 (2020).
Poti, K. E., Sullivan, D. J., Dondorp, A. M. & Woodrow, C. J. HRP2: Transforming malaria diagnosis, but with caveats. Trends Parasitol. 36, 112–126 (2020).
Digiovanni, S. L., Guaragnella, C., Rizzi, M. & Falagario, M. A digital green filter for smart health early cervical cancer diagnosis. In 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow (RTSI) 1–6 (IEEE).
Lim, A. B., Park, J.-H., Jung, J. H., Yoo, C. & Kim, Y. Y. Characteristics of diffuse retinal nerve fiber layer defects in red-free photographs as observed in optical coherence tomography en face images. BMC Ophthalmol. 20, 1–7 (2020).
Saraiva, S. et al. Dysplasia surveillance in inflammatory bowel disease: A cohort study. GE – Portuguese J. Gastroenterol. 28, 97–105 (2021).
Fraenkel, P. G. Anemia of inflammation: A review. Med. Clin. 101, 285–296 (2017).
Weiss, G., Ganz, T. & Goodnough, L. T. Anemia of inflammation. Blood 133, 40–50 (2019).
Crooks, C. J. et al. Anaemia of acute inflammation: A higher acute systemic inflammatory response is associated with a larger decrease in blood haemoglobin levels in patients with COVID-19 infection. Clin. Med. 23, 201–205 (2023).
Weckman, A. M. et al. Inflammatory profiles in febrile children with moderate and severe malnutrition presenting at-hospital in Uganda are associated with increased mortality. eBioMedicine 94, 104606 (2023).
Barathan, M. From fever to action: Diagnosis, treatment, and prevention of acute undifferentiated febrile illnesses. Pathog. Dis. 82, ftae006 (2024).
Alkema, M. et al. Controlled human malaria infections by mosquito bites induce more severe clinical symptoms than asexual blood-stage challenge infections. eBioMedicine 77, 103919 (2022).
Pasricha, S. R., Rogers, L., Branca, F. & Garcia-Casal, M. N. Measuring hemoglobin concentration to define anemia: WHO guidelines. Lancet 403, 1963–1966 (2024).
Owusu, E. D. A., Campillo, A., Daily, J. & Ding, X. C. Acceptance and perceived value of non-invasive malaria diagnostic tests in malaria-endemic countries. Malar. J. 20, 379 (2021).
Johnston, I. G. et al. Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data. npj Digi. Med. 2, 63 (2019).
Burnett, J. L., Carns, J. L. & Richards-Kortum, R. In vivo microscopy of hemozoin: Towards a needle-free diagnostic for malaria. Biomed. Opt. Express 6, 3462–3474 (2015).
Burnett, J. L., Carns, J. L. & Richards-Kortum, R. Towards a needle-free diagnosis of malaria: In vivo identification and classification of red and white blood cells containing Hemozoin. Malar. J. 16, 447 (2017).
Sikulu-Lord, M. T. et al. Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning. PLoS One 19, e0289232 (2024).
Chaudhury, S. et al. Wearables detect malaria early in a controlled human-infection study. IEEE Trans. Biomed. Eng. 69, 2119–2129 (2022).
Wood, C. S. et al. Taking connected mobile-health diagnostics of infectious diseases to the field. Nature 566, 467–474 (2019).
Banik, S. et al. Recent trends in smartphone-based detection for biomedical applications: A review. Anal. Bioanal. Chem. 413, 2389–2406 (2021).
Hunt, B., Ruiz, A. J. & Pogue, B. W. Smartphone-based imaging systems for medical applications: A critical review. J. Biomed. Opt. 26, 040902 (2021).
Hussain, I. & Bowden, A. K. Smartphone-based optical spectroscopic platforms for biomedical applications: A review. Biomed. Opt. Express 12, 1974–1998 (2021).
Steinhubl, S. R., Muse, E. D. & Topol, E. J. The emerging field of mobile health. Sci. Transl. Med. 7, 283rv3–283rv3 (2015).
Ku, J. P. & Sim, I. Mobile health: Making the leap to research and clinics. npj Digi. Med. 4, 83 (2021).
Osei, E., Kuupiel, D., Vezi, P. N. & Mashamba-Thompson, T. P. Mapping evidence of mobile health technologies for disease diagnosis and treatment support by health workers in sub-Saharan Africa: A scoping review. BMC Med. Inform. Decis. Mak. 21, 11 (2021).
Aboye, G. T., Vande Walle, M., Simegn, G. L. & Aerts, J.-M. Current evidence on the use of mHealth approaches in sub-Saharan Africa: A scoping review. Health Policy Technol. 12, 100806 (2023).
Park, S. M. et al. mHealth spectroscopy of blood hemoglobin with spectral super-resolution. Optica 7, 563–573 (2020).
Park, S. M. et al. Remote blood hemoglobin monitoring with hyperspectral color truthing for advancing sickle cell care. Blood 142, 2277 (2023).
Ji, Y. et al. mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics. PNAS Nexus 2, pgad111 (2023).
Jacquet-Lagrèze, M., Magnin, M., Allaouchiche, B. & Abrard, S. Is handheld video microscopy really the future of microcirculation monitoring? Crit. Care 27, 352 (2023).
Lin, J. Y. & Fisher, D. E. Melanocyte biology and skin pigmentation. Nature 445, 843–850 (2007).
Tom, E. et al. Protecting data privacy in the age of AI-enabled ophthalmology. Transl. Vis. Sci. Technol. 9, 36 (2020).
Nakayama, L. F. et al. Retinal scans and data sharing: The privacy and scientific development equilibrium. Mayo Clin. Proc.: Digital Health 1, 67–74 (2023).
Zekar, L., & Sharman, T. (2023). Plasmodium falciparum Malaria. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing.
Kotepui, M., Kotepui, K. U., De Jesus Milanez, G. & Masangkay, F. R. Summary of discordant results between rapid diagnosis tests, microscopy, and polymerase chain reaction for detecting Plasmodium mixed infection: A systematic review and meta-analysis. Sci. Rep. 10, 12765 (2020).
Opoku Afriyie, S. et al. Accuracy of diagnosis among clinical malaria patients: Comparing microscopy, RDT, and a highly sensitive quantitative PCR looking at the implications for submicroscopic infections. Malar. J. 22, 76 (2023).
Guide, T. S. (2024). Samsung Galaxy S22 vs Google Pixel 6: Which smartphone takes the crown? Available at: https://www.tomsguide.com/face-off/samsung-galaxy-s22-vs-google-pixel-6#section-samsung-galaxy-s22-vs-google-pixel-6-cameras.
Viallefont-Robinet, F. et al. Comparison of MTF measurements using edge method: Towards reference data set. Opt. Express 26, 33625–33648 (2018).
Visbal Onufrak, M. A., Konger, R. L. & Kim, Y. L. Telecentric suppression of diffuse light in imaging of highly anisotropic scattering media. Opt. Lett. 41, 143–146 (2016).
He, K., Gkioxari, G., Dollár, P. & Girshick, R. Mask R-CNN. In Proceedings of the IEEE International Conference on Computer Vision 2961–2969 (2017).
Wu, Y., Kirillov, A., Massa, F., Lo, W.-Y. & Girshick, R. Detectron 2 (2019).
Wada, K. Labelme: Image Polygonal Annotation with Python. Zenodo (2021).
Lam, E. Y. & Fung, G. S. Automatic white balancing in digital photography. In Single-Sensor Imaging 287–314 (CRC Press, 2018).
Delbracio, M., Kelly, D., Brown, M. S. & Milanfar, P. Mobile computational photography: A tour. Annu. Rev. Vis. Sci. 7, 571–604 (2021).
Cheng, D., Abdelhamed, A., Price, B., Cohen, S. & Brown, M. S. Two illuminant estimation and user correction preference. Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) 2016, 469–477 (2016).